The Role
Design and build the LLM orchestration layer and multi-agent workflows that enable streaming chat, tool use, memory, function-calling, and autonomous reasoning; prototype agent behaviors; integrate LLMs with frontend/backend systems; evaluate frameworks for performance, safety, and extensibility.
Summary Generated by Built In
About Ironflow AI
We are building the world’s first AI-native ERP for defense tech — a system that thinks, reasons, and acts alongside the people who build, protect, and defend our way of life.
We’re not patching old ideas with a flashy new user interface. We’re starting fresh — reimagining how software supports operations at the cutting edge of the defense tech revolution. Built by veterans, engineers, and operators who’ve lived the pain of legacy systems. Ironflow combines natural language, intelligent agents, and real-world rigor to empower the frontline with clarity and speed.
If you're bold, decisive, and obsessed with impact — join us. This is where curiosity meets purpose.
Why This Role Matters
The AI layer is the beating heart of Ironflow. As our AI/LLM engineer, you won’t just write prompts — you’ll define how the system thinks. You’ll architect the orchestration layer that enables streaming chat, multi-agent coordination, and backend execution across ERP workflows. Your work will determine how our software reasons, adapts, and collaborates with users — at scale, and in real time.
What You’ll Own
- Build the LLM orchestration layer using multi-agent frameworks
- Design agentic workflows that track state, propose actions, and complete multi-step tasks
- Create structured prompting systems with function-calling, memory, and safety constraints
- Prototype agent behavior: retries, fallback logic, chained reasoning, reactive flows
- Collaborate with frontend and backend teams to power natural language-driven UIs
- Evaluate and integrate emerging frameworks for performance, safety, and extensibility
What You Bring
- 5+ years of experience in Python and backend development
- Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration frameworks
- Proven ability to design systems that combine tool use, memory, and autonomous reasoning
- Bonus: Familiarity with FastAPI, GraphQL, or backend ERP workflows
- Bias for action and a track record of shipping prototypes that evolve into production
- Entrepreneurial spirit — you thrive in ambiguity, build from scratch, and think in systems
How We Work
We value autonomy, urgency, and ownership. Everyone at Ironflow moves fast, solves real problems, and holds a high bar for craft. We expect you to lead — not just follow — and to build systems that stand up to real-world complexity while staying clean and maintainable.
Skills Required
- 5+ years of experience in Python and backend development
- Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration frameworks
- Proven ability to design systems combining tool use, memory, and autonomous reasoning
- Experience building multi-agent orchestration layers and agentic workflows
- Bias for action and a track record of shipping prototypes that evolve into production; entrepreneurial mindset
- Familiarity with FastAPI, GraphQL, or backend ERP workflows
Am I A Good Fit?
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The Company
What We Do
Ironflow AI provides 'Flow,' an AI-native ERP designed as an AI copilot for advanced manufacturers to improve planning, supply chain, and production. The company develops enterprise operations management software focused on automating workflows to enhance operational efficiency. Leveraging deep expertise in advanced manufacturing, aerospace, and defense, Ironflow AI aims to modernize industrial operations through intelligent automation and AI-driven orchestration.
